Following AI training modules need to be taken up at a university in Gurugram for the next 3-4 monhts.
Program details are as follows:-
UNIT I: Understanding AI and Responsible Use
10 Hours
AI Fundamentals: Core concepts, evolution, and capabilities
Understanding Generative AI: ChatGPT, Gemini, Claude, Perplexity AI
Understanding of Large Language Models (LLMs) and Multimodal AI
AI Ethics: Bias, transparency, misinformation, and digital footprint
Academic integrity, authorship, and plagiarism in the AI era
Institutional guidelines and case studies on responsible AI use
AI Tools Introduced for
Text generation and exploration
(ChatGPT, Perplexity AI)
Ethical compliance and originality check
(GPTZero)
Practical Activities
Compare outputs from ChatGPT, Gemini, Claude, and Perplexity for a simple domain question.
Short ethical case study on AI misuse (bias, plagiarism, misinformation).
Reflection journal: "My Responsible AI Use Plan"
Meta Skills
Critical Thinking & Ethical Reasoning
- Evaluate AI outputs, identify bias, and ensure responsible usage.
Reflective Practice
- Assess personal AI use and its academic/professional impact.
Learning Outputs
Reflective essay on Responsible AI in Academia
Quiz on AI ethics, transparency, and digital responsibility
UNIT II: Practical AI for Productivity and Creativity
12 Hours
Prompt Engineering and Creative Ideation
AI for Academic and Professional Writing (reports, blogs, documentation)
AI for Presentation and Design: text-to-image, image-to-video, slide generators
Automation and productivity enhancement
Using AI for visualization, organization, and workflow
AI Tools Introduced for
Visual creativity (Canva)
Video and animation creation (
Pika Labs
)
AI-generated presentations (
Gamma
,
pi.inc
)
Practical Activities
Design an AI-assisted digital story or presentation
Prompt Lab: experiment with tone, style, and context shifts
AI Productivity Sprint: use AI to plan and optimize a weekly schedule
Meta Skills
Creativity & Innovation
- Leverage AI for ideation, design, and content creation.
Prompt Literacy
- Craft effective prompts to guide AI outputs purposefully.
Learning Outputs
AI-enhanced creative project (poster, short video, or design)
Prompt Logs and Reflection Reports
UNIT III: AI for Research, Learning, and Professional Growth
10 Hours
Using AI for research assistance: discovery, summarization, analysis
AI in education: adaptive learning, personalized tutoring, assessment design
AI applications:
Tableau GPT, Power BI Copilot
Perplexity, Elicit, ChatGPT for analysis and critique
Midjourney, Leonardo.ai, Runway
AI in employability: career tools, resume optimization, job market AI insights
Building a personal AI toolkit and digital portfolio
AI Tools Introduced
Research & citation (
Research Rabbit
)
Data visualization and analysis (
Power BI)
Professional development (
LinkedIn AI Career Coach)
Practical Activities
Research Paper Discovery Task: Students use tools like Semantic Scholar or Research Rabbit to find 5 recent research papers on a chosen topic and map the citation network.
AI Summarization Practice: Use Elicit or Scholarly to generate structured summaries (abstract, methods, limitations).
AI-driven Literature Review Drafting: Students analyse a research theme using ChatGPT or Perplexity to generate a preliminary literature review outline.
Meta Skills
Analytical Thinking & Synthesis
- Evaluate, summarize, and integrate AI-generated research insights.
Professional Self-Presentation
- Build AI-assisted portfolios, resumes, and career documentation.
Learning Outcomes
Use of AI tools to locate, filter, and evaluate high-quality research articles.
Generate accurate summaries and extract key insights using AI-based research assistants.
Demonstrate the ability to critically analyse AI-generated outputs and integrate them into academic writing responsibly.
UNIT IV: Data Analysis, Visualization & Storytelling
13 Hours
Uploading & Analysing Data with AI - Data cleaning, exploration, classification
Visualizing Data with AI - Charts, dashboards, patterns
Data storytelling--insight writing, narrative frameworks, conclusions
AI Tools Introduced - Power BI / Tableau Public
Data Analytics
Data Visualisation
Presentation & Storytelling
Practical Activities
AI-Based Data Cleaning Task: Students upload a messy dataset to ChatGPT Data Analysis or Excel Copilot and perform missing-value handling, outlier detection, and normalization.
Exploratory Data Analysis (EDA) with AI: Use ChatGPT Data Analysis to auto-generate EDA summaries: distributions, correlations, and descriptive statistics.
AI-driven Classification Experiment: Students run a classification task (e.g., spam/ham, churn, sentiment) using AI tools and interpret model performance outputs.
Meta Skills
Data Literacy & Quantitative Reasoning
- Interpret AI-driven analysis and statistical outputs accurately.
Narrative Construction & Decision-Making
- Communicate insights effectively and derive actionable conclusions.
Learning Outcomes
Perform AI-assisted data analysis by uploading, cleaning, and exploring datasets to identify key patterns and insights.
Create effective visualizations using AI tools to transform data into meaningful charts, dashboards, and visual summaries.
Communicate insights through data storytelling by crafting clear narratives, conclusions, and presentations using AI-supported design tools
CAPSTONE PROJECTS
Case Study Title
Domain
Problem Statement
1. Restaurant Menu Performance Analysis
Hotel Management
Identify the data inconsistencies and unify item categories to understand true menu performance.
Visualize top-selling vs low-selling dishes
Insight writing: Recommend menu redesign or pricing changes
2. Sales Dashboard Misinterpretation
Management
Identify data gaps and evaluate how they distort insights. Propose corrections and an accurate dashboard.
Build a revised dashboard (line, bar charts)
Storytelling: Explain true sales performance and conclusions
3. Crop Yield Visualization for Decision-Making
Agriculture
Analyze how inconsistent units affect agricultural decisions. Standardize data and generate correct visuals.
Visualize yield across regions
Write insights for selecting next season's seeds
4. Cultural Survey Pattern Analysis
Liberal Arts
Evaluate the validity of AI-detected patterns and remove misleading correlations before forming conclusions.
Create meaningful charts (genre preferences, reading time)
Data story: Key cultural insights about reading habits
5. Social Media Engagement Insights
Mass Communication
Identify data contamination and rebuild accurate engagement insights.